A team of researchers from University of Liverpool, Huawei Noah’s Ark Lab, University of Oxford and University College London presents […]
Category: Staff
MemAgent: A Reinforcement Learning Framework Redefining Long-Context Processing in LLMs
Handling extremely long documents remains a persistent challenge for large language models (LLMs). Even with techniques such as length extrapolation […]
This AI Paper Introduces ARAG: A Multi-Agent RAG Framework for Context-Aware and Personalized Recommendations
Personalized recommendations have become a vital component of many digital systems, aiming to surface content, products, or services that align […]
You Don’t Need to Share Data to Train a Language Model Anymore—FlexOlmo Demonstrates How
The development of large-scale language models (LLMs) has historically required centralized access to extensive datasets, many of which are sensitive, […]
o1 Style Thinking with Chain-of-Thought Reasoning using Mirascope
In this tutorial, we’ll explore how to implement Chain-of-Thought (CoT) reasoning using the Mirascope library and Groq’s LLaMA 3 model. […]
EG-CFG: Enhancing Code Generation with Real-Time Execution Feedback
LLMs have made impressive strides in generating code for various programming tasks. However, they mostly rely on recognizing patterns from […]
AegisLLM: Scaling LLM Security Through Adaptive Multi-Agent Systems at Inference Time
The Growing Threat Landscape for LLMs LLMs are key targets for fast-evolving attacks, including prompt injection, jailbreaking, and sensitive data […]
GLM-4.1V-Thinking: Advancing General-Purpose Multimodal Understanding and Reasoning
Vision-language models (VLMs) play a crucial role in today’s intelligent systems by enabling a detailed understanding of visual content. The […]
Mirage: Multimodal Reasoning in VLMs Without Rendering Images
While VLMs are strong at understanding both text and images, they often rely solely on text when reasoning, limiting their […]
NVIDIA AI Releases Canary-Qwen-2.5B: A State-of-the-Art ASR-LLM Hybrid Model with SoTA Performance on OpenASR Leaderboard
NVIDIA has just released Canary-Qwen-2.5B, a groundbreaking automatic speech recognition (ASR) and language model (LLM) hybrid, which now tops the […]